REVENUE INTELLIGENCE · 30-MIN DISCOVERY CALL
A 30-minute working session on your revenue reporting. We look at what you measure, what you trust, and what you should be tracking instead. You leave with a clearer view of the numbers that move the business.
WHAT YOU LEAVE WITH
A diagnosis of the gaps between what your reports say and what is actually happening
A view on the 5 to 7 metrics that matter at your stage
A reporting architecture you can build into HubSpot, Databox, Looker or whatever you use
BOOK A 30-MIN CALL
Drop your email so we can prep for the call. Then choose UK/EU (Brooks) or North America (Tom).
REVENUE TEAMS WE HAVE BUILT WITH
WHAT TO EXPECT
Numbers literacy
You speak with someone who has built revenue reporting from raw data, not just consumed dashboards.
Tool-agnostic
We work with HubSpot, Databox, Looker, BigQuery. The architecture matters more than the tool.
Output, not theatre
No dashboards-for-dashboards-sake. We focus on the reports your team will actually use.
WHAT CLIENTS SAY
“ALPN Digital is the real deal. They've managed to bridge the gap between complex AI orchestration and actual business ROI. When we need a stack that is both realistic and future-proof, ALPN is our first call.”
Chris Stachiw
Founder, Stach Consulting
COMMON QUESTIONS
Five to seven, no more. Pipeline coverage by quarter, win rate by segment, MRR/ARR movement (new, expansion, contraction, churn), CAC payback by channel, and forecast accuracy. Optional but high-leverage: pipeline velocity, sales cycle length by source. Anything beyond that is usually a vanity metric or a diagnostic for an existing problem, not a board-level number.
For a single-source-of-truth GTM stack, yes, up to about £15m ARR. HubSpot reporting handles the core revenue and pipeline analytics if the underlying data model is right. You only need Looker, Metabase or Tableau when you are blending HubSpot with product usage, billing and finance data. The mistake is reaching for BI before fixing the CRM data model. Garbage in, garbage out, no matter the tool.
Three things have to be true. Pipeline stages map to verifiable buyer behaviour, not seller optimism. Stage-to-stage conversion rates are based on at least two quarters of clean historical data. And the same forecast number is visible to sales, marketing and finance from the same source. Most forecasts collapse because one of those three breaks. Fix all three and the conversation with the board changes.
Want the long version first?
Read about our revenue intelligence work